The multinomial distribution is a generalization of the binomial distribution that describes the probabilities of obtaining various outcomes in experiments where each outcome can fall into one of several categories. It is useful in scenarios where there are more than two possible outcomes, and it helps to determine the likelihood of different combinations of these outcomes occurring. The distribution is characterized by its parameters, which include the number of trials and the probabilities associated with each outcome category.
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